Quantifying Physical Activity in Physical Education via Pedometry: A Further Analysis of Steps/Min Guidelines
Abstract
Background The validity of common pedometer steps/min guidelines for 1st-12th grade physical education physical activity (PA) recommendations (ie, 33% and 50% PA) was investigated. Methods Data sets from previous research, where physical education PA was quantified via pedometry, were combined. Participants (1st-12th grade, N = 1152) with concurrent steps/min and observed %PA scores were included. Data were analyzed using correlation, regression, and receiver-operator-characteristic (ROC) statistics. Alpha was set at .05. Results Overall, by gender and school level group (ie, 1st-6th, 7th-12th) PA outcome measures were strongly correlated and significant (r = .85-.92). Steps/min₂, lesson time₃, stature₄, and BMI₅ were significant predictors (r₁₂.₃₄₅=.91) of %PA₁. Steps/min accounted for 85.4% of the variance for %PA; however, the other predictors only accounted for an additional 0.5%. ROC analyses indicated that steps/min was an excellent discriminator (AUC ≥ .90) of %PA guideline achievement. Steps/min values of 60.6 and 82.2 were the most accurate cut points overall for the 33% and 50% PA guidelines, respectively. Steps/min cut points for gender and school level demonstrated agreement with the overall steps/min cut points. Conclusions These findings support the contention that common steps/min guidelines can be applied in the surveillance of physical education PA.
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Prior research defines an AUC greater than .90 as excellent.
“which prior research defined as having an AUC greater than .90(Scruggs, 2013;Trost et al., 2012).”
From Demographics, Purpose, and Dreams: Predicting Entering College as an Undecided Major Student (2023) · cites this paper as Scruggs, 2013
Cites
Measurement Issues in the Assessment of Physical Activity in Children
Welk, G. J., Corbin, C. B., & Dale, D. (2000) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2000.11082788 · Cited by 786 · see citing works
SOFIT: System for Observing Fitness Instruction Time
McKenzie, T. L., Sallis, J. F., & Nader, P. R. (1992) · Journal of Teaching in Physical Education · doi:10.1123/jtpe.11.2.195 · Cited by 495 · see citing works
Assessment of Physical Activity among Children and Adolescents: A Review and Synthesis
Kohl, H. W., Fulton, J. E., & Caspersen, C. J. (2000) · Preventive Medicine · doi:10.1006/pmed.1999.0542 · Cited by 484 · see citing works
A hitchhiker's guide to assessing young people's physical activity: Deciding what method to use
Dollman, J., Okely, A. D., Hardy, L. L., Timperio, A. F., Salmon, J., & Hills, A. P. (2008) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2008.09.007 · Cited by 224 · see citing works
Jamner, M. S., Spruijt‐Metz, D., Bassin, S. L., & Cooper, D. M. (2004) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2003.06.003 · Cited by 140 · see citing works
Objective monitoring of physical activity in children: considerations for instrument selection
McClain, J. J., & Tudor‐Locke, C. (2008) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2008.09.012 · Cited by 88 · see citing works
Pedometer-Determined Segmented Physical Activity Patterns of Fourth- and Fifth-Grade Children
Brusseau, T. A., Kulinna, P. H., Tudor-Locke, C. E., Ferry, M., van der Mars, H., & Darst, P. W. (2011) · Journal of Physical Activity and Health · doi:10.1123/jpah.8.2.279 · Cited by 86 · see citing works
Effects of Age, Walking Speed, and Body Composition on Pedometer Accuracy in Children
Duncan, S., Schofield, G., Duncan, E., & Hinckson, E. A. (2007) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2007.10599442 · Cited by 75 · see citing works
Quantifying Physical Activity in First- Through Fourth- Grade Physical Education via Pedometry
Scruggs, P. W., Beveridge, S. K., Watson, D. L., & Clocksin, B. D. (2005) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2005.10599278 · Cited by 43 · see citing works
Self-citationMiddle School Physical Education Physical Activity Quantification
Scruggs, P. W. (2007) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2007.10599426 · Cited by 38 · see citing works
Self-citationA Comparative Analysis of Pedometry in Measuring Physical Activity of Children
Scruggs, P. W. (2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318126c1aa · Cited by 22 · see citing works
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Kirkham-King, M., Brusseau, T. A., Hannon, J. C., Castelli, D. M., Hilton, K., & Burns, R. D. (2017) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2017.09.007 · Cited by 54 · see citing works
Frömel, K., Groffik, D., Mitáš, J., Gecková, A. M., & Csányi, T. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.527442 · Cited by 30 · see citing works
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Physical Activity Recommendations in the Context of New Calls for Change in Physical Education
Frömel, K., Vašíčková, J., Skalik, K., Svozil, Z., Groffik, D., & Mitáš, J. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18031177 · Cited by 11 · see citing works
Frömel, K., Skalik, K., Svozil, Z., Groffik, D., & Mitáš, J. (2021) · Sustainability · doi:10.3390/su13084569 · Cited by 4 · see citing works
Demographics, Purpose, and Dreams: Predicting Entering College as an Undecided Major Student
Harper, C. E., Orr, R., & Stolzenberg, E. B. (2023) · NACADA journal · doi:10.12930/nacada-22-42 · Cited by 3 · see citing works
“We also performed a ROC analysis and found that the model was excellent (area under the curve [AUC] ¼ .904, 95% con fi dence interval: .902 – .907, p < .001), which prior research de fi ned as having an AUC greater than .90 (Scruggs, 2013; Trost et al., 2012).”
Gordia, A. P., de Quadros, T. M. B., Silva, L. R., & Mota, J. A. P. S. (2015) · Annals of Human Biology · doi:10.3109/03014460.2015.1096418 · Cited by 3 · see citing works
Students’ attitudes to PE lessons with respect to lesson content, sex, and type of school
Neuls, F., Vašíčková, J., & Vysloužilová, L. (2014) · Journal of Human Sport and Exercise · doi:10.14198/jhse.2014.9.proc1.16 · Cited by 3 · see citing works
- Authors
- Scruggs, P. W.
- Affiliations
- University of Idaho (US)
- Corresponding author
- Scruggs, Philip W.
- Venue
- Journal of Physical Activity and Health
- Publisher
- Human Kinetics
- Published
- 2013-07
- Volume
- 10
- Issue
- 5
- Pages
- 734-741
- ISSN
- 1543-3080 (ISSN-L)
- 1543-5474
- OpenAlex
- W2399896916
- Cited by
- 11
- References
- 11
- Citations by year
- 2023: 1 · 2021: 2 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 1 · 2015: 2 · 2014: 1
- FWCI
- 0.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Physical Activity and Health (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Robert Wood Johnson Foundation
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Physical Education and Pedagogy
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Physical Education and Training Studies
- Keywords
- pedometers, physical activity monitoring, physical education, physical activity surveillance, children and adolescents, cut points, school level, gender differences
- MeSH terms
- Adolescent, Child, Female, Humans, Male, Monitoring, Physiologic, Physical Education and Training, ROC Curve, Sex Factors, Exercise, Body Mass Index, Guidelines as Topic
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